ChatENT: Augmented Large Language Model for Expert Knowledge Retrieval in Otolaryngology-Head and Neck Surgery.
Cai LongDeepak SubburamKayle LoweAndré Dos SantosJessica J ZhangSang HwangNeil SadukaYoav HorevTao SuDavid W J CôtéErin D WrightPublished in: Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery (2024)
To the best of our knowledge, ChatENT is the first specialty-specific knowledge retrieval artificial intelligence in the medical field that utilizes the latest LLM. It appears to have considerable promise in areas such as medical education, patient education, and clinical decision support. The model has demonstrated the capacity to overcome the limitations of existing LLMs, thereby signaling a future of more precise, safe, and user-friendly applications in the realm of OHNS and other medical fields.
Keyphrases
- healthcare
- artificial intelligence
- clinical decision support
- big data
- medical education
- machine learning
- deep learning
- minimally invasive
- electronic health record
- coronary artery bypass
- clinical practice
- current status
- quality improvement
- atrial fibrillation
- low cost
- percutaneous coronary intervention
- surgical site infection